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6 articles for “online manipulation”
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The Power of Persuasion: How Social Engineers Exploit Social Media Dynamics
Abstract: Social engineering, the strategic manipulation of individualities through cerebral tactics, thrives on social media platforms, where specific dynamics enhance its impact. This study delves into the styles social masterminds employ to exploit social media, assaying common strategies like phishing, impersonation, misinformation, and emotional prayers. Social media provides rich ground for these tactics through features similar as algorithmic modification, stoner obscurity, and echo chambers, which allow social masterminds to reach and …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 37–44 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Study of Cyber Security Challenges and Their Impact
Abstract: In the contemporary digital landscape, the internet has become an indispensable tool for daily activities, encompassing email communication, financial transactions, shopping, reservations, data sharing, and access to information. This interconnected realm, often termed cyberspace, defines our modern era, characterized by the pervasive presence of the Internet of Things (IoT), facilitating ubiquitous data exchange and communication. However, this interconnectedness also exposes vulnerabilities, leading to cybersecurity concerns. The transfer of information traverses …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 7–12 Read article
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A Decentralized Approach to Online Voting: Leveraging Blockchain Technology
Abstract: The increasing need for secure and transparent voting systems has led to the exploration of blockchain technology as a solution for online voting. This paper presents an innovative approach to online voting using blockchain, aiming to enhance the integrity, security, and transparency of the electoral process. Because of the decentralized, tamper-proof ledger that blockchain technology offers, every vote is reliably recorded and unchangeable. This study outlines the design and implementation …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Performance Analysis of Machine Learning Algorithms For Disease Prediction
Abstract: In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate the huge amount of data as per the requirement, prediction of the decease based on Machine Learning models will be representing one of the good applications of the efficient data handling. An Automatic Decease Prediction system based on the symptoms would be the great boon for the medical practitioners. The Supervised Machine Learning models, such as …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 9–18 Read article
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Parameter Identification of Vibrating MIMO Mass-Spring-Damper Mechanical Systems with Coulomb Friction
Abstract: This study presents a time-domain method for identifying parameters in multi-degree-of-freedom (DOF) linear mass-spring-damper systems that include Coulomb friction, where the friction coefficient varies within a limited range, using measurements of position and control force. For mass identification in single-degree-of-freedom (DOF) vibrating mechanical systems with stiffness and no damping but Coulomb friction, the friction term is eliminated by first derivative processing. In addition, the identification of the coefficient of friction …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 20–34 Read article